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Python PIL | Image.transpose() method

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PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. The Image module provides a class with the same name which is used to represent a PIL image. The module also provides a number of factory functions, including functions to load images from files, and to create new images.
Image.transpose() Transpose image (flip or rotate in 90 degree steps)
 

Syntax: Transpose image (flip or rotate in 90 degree steps)
Parameters
method – One of PIL.Image.FLIP_LEFT_RIGHT, PIL.Image.FLIP_TOP_BOTTOM, PIL.Image.ROTATE_90, PIL.Image.ROTATE_180, PIL.Image.ROTATE_270 or PIL.Image.TRANSPOSE.
Returns type: An Image object.
 


Image Used: 
 


 

Python3

# Importing Image class from PIL module
from PIL import Image
 
# Opens a image in RGB mode
im = Image.open(r"C:\Users\System-Pc\Desktop\new.jpg")
 
# Size of the image in pixels (size of original image)
# (This is not mandatory)
width, height = im.size
 
# Setting the points for cropped image
left = 6
top = height / 4
right = 174
bottom = 3 * height / 4
 
# Cropped image of above dimension
# (It will not change original image)
im1 = im.crop((left, top, right, bottom))
newsize = (200, 200)
im1 = im1.transpose(Image.FLIP_LEFT_RIGHT)
# Shows the image in image viewer
im1.show()

                    

Output: 
 


Another example:Here the transform parameter are changed. 
Image Used 
 


 

Python3

# Importing Image class from PIL module
from PIL import Image
 
# Opens a image in RGB mode
im = Image.open(r"C:\Users\System-Pc\Desktop\flower1.jpg")
 
# Size of the image in pixels (size of original image)
# (This is not mandatory)
width, height = im.size
 
# Setting the points for cropped image
left = 3
top = height / 2
right = 164
bottom = 3 * height / 2
 
# Cropped image of above dimension
# (It will not change original image)
im1 = im.crop((left, top, right, bottom))
newsize = (1800, 1800)
im1 = im1.transpose(Image.FLIP_TOP_BOTTOM)
# Shows the image in image viewer
im1.show()

                    

Output: 
 


 



Last Updated : 17 Jun, 2021
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